---
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: chickens-300-epoch-200-images
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# chickens-300-epoch-200-images

This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5365

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 60

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9097        | 1.0   | 99   | 1.7611          |
| 1.6037        | 2.0   | 198  | 1.5045          |
| 1.5109        | 3.0   | 297  | 1.3585          |
| 1.3272        | 4.0   | 396  | 1.2303          |
| 1.3035        | 5.0   | 495  | 1.2142          |
| 1.1962        | 6.0   | 594  | 1.1744          |
| 1.1761        | 7.0   | 693  | 1.0835          |
| 1.1091        | 8.0   | 792  | 1.0690          |
| 1.1074        | 9.0   | 891  | 1.0030          |
| 0.9913        | 10.0  | 990  | 0.9990          |
| 0.9685        | 11.0  | 1089 | 0.9787          |
| 0.9439        | 12.0  | 1188 | 0.9659          |
| 0.9102        | 13.0  | 1287 | 0.9237          |
| 0.9849        | 14.0  | 1386 | 0.8619          |
| 0.8692        | 15.0  | 1485 | 0.8463          |
| 0.833         | 16.0  | 1584 | 0.8279          |
| 0.8148        | 17.0  | 1683 | 0.7647          |
| 0.7309        | 18.0  | 1782 | 0.8500          |
| 0.7024        | 19.0  | 1881 | 0.7294          |
| 0.73          | 20.0  | 1980 | 0.7389          |
| 0.7115        | 21.0  | 2079 | 0.7617          |
| 0.6883        | 22.0  | 2178 | 0.8105          |
| 0.7151        | 23.0  | 2277 | 0.6843          |
| 0.6598        | 24.0  | 2376 | 0.7199          |
| 0.762         | 25.0  | 2475 | 0.6930          |
| 0.6331        | 26.0  | 2574 | 0.6905          |
| 0.6141        | 27.0  | 2673 | 0.6327          |
| 0.6014        | 28.0  | 2772 | 0.6516          |
| 0.5935        | 29.0  | 2871 | 0.6052          |
| 0.557         | 30.0  | 2970 | 0.5846          |
| 0.6292        | 31.0  | 3069 | 0.5857          |
| 0.5536        | 32.0  | 3168 | 0.5905          |
| 0.5309        | 33.0  | 3267 | 0.6030          |
| 0.5065        | 34.0  | 3366 | 0.5743          |
| 0.5429        | 35.0  | 3465 | 0.5699          |
| 0.4981        | 36.0  | 3564 | 0.5755          |
| 0.5184        | 37.0  | 3663 | 0.5689          |
| 0.5338        | 38.0  | 3762 | 0.5646          |
| 0.5218        | 39.0  | 3861 | 0.5688          |
| 0.5102        | 40.0  | 3960 | 0.5738          |
| 0.5052        | 41.0  | 4059 | 0.5599          |
| 0.4897        | 42.0  | 4158 | 0.5454          |
| 0.4916        | 43.0  | 4257 | 0.5393          |
| 0.4696        | 44.0  | 4356 | 0.5470          |
| 0.494         | 45.0  | 4455 | 0.5516          |
| 0.465         | 46.0  | 4554 | 0.5459          |
| 0.4733        | 47.0  | 4653 | 0.5483          |
| 0.4929        | 48.0  | 4752 | 0.5316          |
| 0.4822        | 49.0  | 4851 | 0.5306          |
| 0.4594        | 50.0  | 4950 | 0.5351          |
| 0.4598        | 51.0  | 5049 | 0.5348          |
| 0.4511        | 52.0  | 5148 | 0.5432          |
| 0.4561        | 53.0  | 5247 | 0.5467          |
| 0.4653        | 54.0  | 5346 | 0.5444          |
| 0.4475        | 55.0  | 5445 | 0.5423          |
| 0.4734        | 56.0  | 5544 | 0.5368          |
| 0.4815        | 57.0  | 5643 | 0.5363          |
| 0.4365        | 58.0  | 5742 | 0.5366          |
| 0.4596        | 59.0  | 5841 | 0.5365          |
| 0.4757        | 60.0  | 5940 | 0.5365          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.2
- Tokenizers 0.20.0